A Curriculum Innovation Framework to Integrate Manufacturing-related Materials and Quality Control Standards into Different Level Engineering Education

For decades Sudan, like most of Sub-Saharan African countries, has been facing profound engineering education issues, namely: poor funding, outdated curricula, ineffective teaching and learning methods, inadequate human capacity, poor research/publishing condition, inappropriate facilities, inadequate educational technology and ICT environment, weak university/industry relationship, lack of academic freedom, and missing of quality control and accreditation measures. The paper discussed these issues, and proposed solutions such as redesign of flexible curriculum, adopting learner-centered approach, and developing hiring structure that focuses on recruiting and retaining qualified educators, with the goal of graduating a high rate of qualified engineers, ready for the 21st century.

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Low-Cost Education Kit for Teaching Basic Skills for Industry 4.0 Using Deep-Learning in Quality Control Tasks

Electronics ◽

10.3390/electronics11020230 ◽

2022 ◽

Vol 11 (2) ◽

pp. 230

Author(s):

Martin Pajpach ◽

Oto Haffner ◽

Erik Kučera ◽

Peter Drahoš

Keyword(s):

Quality Control ◽

Deep Learning ◽

Engineering Education ◽

Industry 4.0 ◽

Low Cost ◽

Basic Skills ◽

Free Software ◽

Educational Institutions ◽

Next Generation ◽

Suitable Environment

The main purposes of this paper are to offer a low-cost solution that can be used in engineering education and to address the challenges that Industry 4.0 brings with it. In recent years, there has been a great shortage of engineering experts, and therefore it is necessary to educate the next generation of experts, but the hardware and software tools needed for education are often expensive and access to them is sometimes difficult, but most importantly, they change and evolve rapidly. Therefore, the use of cheaper hardware and free software helps to create a reliable and suitable environment for the education of engineering experts. Based on the overview of related works dealing with low-cost teaching solutions, we present in this paper our own low-cost Education Kit, for which the price can be as low as approximately EUR 108 per kit, for teaching the basic skills of deep learning in quality-control tasks in inspection lines. The solution is based on Arduino, TensorFlow and Keras, a smartphone camera, and is assembled using LEGO kit. The results of the work serve as inspiration for educators and educational institutions.

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Management Tools in Engineering Education

Industry and Higher Education ◽

10.1177/095042229901300203 ◽

1999 ◽

Vol 13 (2) ◽

pp. 112-118 ◽

Cited By ~ 1

Author(s):

M. Fehr

Keyword(s):

Job Satisfaction ◽

Quality Control ◽

Performance Evaluation ◽

Engineering Education ◽

Optimum Level ◽

Management Tools ◽

Industrial Setting ◽

Practice Teaching ◽

Virtual Time ◽

The Relationship

Continuing from previous work in which a new teaching philosophy was developed, this paper discusses the management tools used to make it function in practice. Teaching has become virtual. Time has been promoted to the single most important resource, is used efficiently and accounted for accurately. Quality control has become a common tool of performance evaluation. The relationship between teacher and students mimics an industrial setting in which results are required and tolerance levels are low. Excellent technical documents are produced. The ratio of knowledge gained to time spent has reached an optimum level and job satisfaction of both teacher and students is high.

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